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Do‐Young Kang

Observed names: Do-Young Kang, Do-young Kang, Doyoung Kang
ORCID: 0000-0003-1688-0818
Observed ORCID: 0000-0003-1688-0818
OpenAlex ID: A5070955979
Genetic Algorithm Based Deep Learning Neural Network Structure and Hyperparameter Optimization
2021 · Sanghyeop Lee, Junyeob Kim, et al. · Applied Sciences · 138
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Lymphatic Mapping and Sentinel Node Biopsy Using 99mTc tin Colloid in Gastric Cancer
2004 · Min-Chan Kim, Hyung-Ho Kim, et al. · Annals of Surgery · 100
Vision Transformer Approach for Classification of Alzheimer’s Disease Using 18F-Florbetaben Brain Images
2023 · Hyunji Shin, Soomin Jeon, et al. · Applied Sciences · 77
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Regional cerebral blood flow differences in patients with mild cognitive impairment between those who did and did not develop Alzheimer's disease
2012 · Kyung Won Park, Hyun Jin Yoon, et al. · Psychiatry Research Neuroimaging · 51
Autophagy deficiency in myeloid cells exacerbates eosinophilic inflammation in chronic rhinosinusitis
2017 · Go Eun Choi, Seung-Yong Yoon, et al. · Journal of Allergy and Clinical Immunology · 47
A Nomogram for Predicting Amyloid PET Positivity in Amnestic Mild Cognitive Impairment
2018 · Si Eun Kim, Sookyoung Woo, et al. · Journal of Alzheimer s Disease · 46
Medical Image Analysis Using Artificial Intelligence
2019 · Hyun Jin Yoon, Young Jin Jeong, et al. · Progress in Medical Physics · 43
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Additional value of F-18 FDG PET/CT for initial staging in breast cancer with clinically negative axillary nodes
2014 · Young Jin Jeong, Do-Young Kang, et al. · Breast Cancer Research and Treatment · 41
Effect of 12-week home-based cognitive training on cognitive function and brain metabolism in patients with amnestic mild cognitive impairment
2019 · Jinse Park, Si Eun Kim, et al. · Clinical Interventions in Aging · 35
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Anomaly Analysis of Alzheimer’s Disease in PET Images Using an Unsupervised Adversarial Deep Learning Model
2021 · Husnu Baris Baydargil, Jang-Sik Park, et al. · Applied Sciences · 34
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Assessment of change in glucose metabolism in white matter of amyloid-positive patients with Alzheimer disease using F-18 FDG PET
2017 · Young Jin Jeong, Hyun Jin Yoon, et al. · Medicine · 33
Correlation between neuropsychological tests and hypoperfusion in MCI patients: anatomical labeling using xjView and Talairach Daemon Software
2012 · Hyun Jin Yoon, Kyung Won Park, et al. · Annals of Nuclear Medicine · 27
Prediction of Alzheimer's Pathological Changes in Subjective Cognitive Decline Using the Self-report Questionnaire and Neuroimaging Biomarkers
2019 · Yun Jeong Hong, Kyung Won Park, et al. · Dementia and Neurocognitive Disorders · 25
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Assessment of brain beta-amyloid deposition in transgenic mouse models of Alzheimer’s disease with PET imaging agents 18F-flutemetamol and 18F-florbetaben
2018 · Hye Joo Son, Young Jin Jeong, et al. · BMC Neuroscience · 23
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Visual and Quantitative Evaluation of Amyloid Brain PET Image Synthesis with Generative Adversarial Network
2020 · Hyeon Kang, Jang-Sik Park, et al. · Applied Sciences · 22
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Restoration of amyloid PET images obtained with short-time data using a generative adversarial networks framework
2021 · Young Jin Jeong, Hyoung Suk Park, et al. · Scientific Reports · 21
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Optimization of the spatial resolution for the GE discovery PET/CT 710 by using NEMA NU 2-2007 standards
2015 · Hyun Jin Yoon, Young Jin Jeong, et al. · Journal of the Korean Physical Society · 20
Performance evaluation in [18F]Florbetaben brain PET images classification using 3D Convolutional Neural Network
2021 · Seung-Yeon Lee, Hyeon Kang, et al. · PLoS ONE · 19
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Quantitative comparative analysis of amyloid PET images using three radiopharmaceuticals
2023 · Young Jin Jeong, Hyun Jin Yoon, et al. · Annals of Nuclear Medicine · 17
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VGG-based BAPL Score Classification of 18F-Florbetaben Amyloid Brain PET
2018 · Hyeon Kang, Woong-Gon Kim, et al. · Journal of Experimental & Biomedical Sciences/Biomedical Science Letters · 16
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Visual Pattern and Serial Quantitation of 18F-Sodium Fluoride PET/CT in Asymptomatic Patients After Hip and Knee Arthroplasty
2016 · Hye Joo Son, Young Jin Jeong, et al. · Nuclear Medicine and Molecular Imaging · 13
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Enhancement and evaluation for deep learning-based classification of volumetric neuroimaging with 3D-to-2D knowledge distillation
2024 · Hyemin Yoon, Do-Young Kang, et al. · Scientific Reports · 12
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Multimodal feature fusion-based graph convolutional networks for Alzheimer’s disease stage classification using F-18 florbetaben brain PET images and clinical indicators
2024 · Gyu-Bin Lee, Young-Jin Jeong, et al. · PLoS ONE · 10
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Accurate BAPL Score Classification of Brain PET Images Based on Convolutional Neural Networks with a Joint Discriminative Loss Function †
2020 · Ryosuke Sato, Yutaro Iwamoto, et al. · Applied Sciences · 10
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Correlation of Early-Phase F-18 Florapronal PET with F-18 FDG PET in Alzheimer’s Disease and Normal Brain
2019 · Jieun Jeong, Young Jin Jeong, et al. · Nuclear Medicine and Molecular Imaging · 10
Works count: 101
Citation count: 1,043
H-index: 18
I10-index: 27
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